aitytech/Whisper-Small-MLX-FP16

Whisper Small - MLX FP16

This is the OpenAI Whisper Small model converted to MLX format with FP16 precision, optimized for Apple Silicon inference.

Model Details

Intended Use

This model is optimized for on-device automatic speech recognition (ASR) on Apple Silicon devices (Mac, iPhone, iPad). It is designed for use with the WhisperKit or MLX frameworks.

Files

• —config.json - Model configuration
• —model.safetensors - Model weights in SafeTensors format (FP16)
• —multilingual.tiktoken - Tokenizer

Usage

import mlx_whisper

result = mlx_whisper.transcribe(
    "audio.mp3",
    path_or_hf_repo="aitytech/Whisper-Small-MLX-FP16",
)
print(result["text"])

Original Model

• —Paper: Robust Speech Recognition via Large-Scale Weak Supervision
• —Authors: OpenAI
• —License: Apache-2.0